{"id":"W4308956726","doi":"10.1017/s0714980822000332","title":"Access to Community Support Services among Older Adults in Social Housing in Ontario","year":2022,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Toronto Metropolitan University; Toronto Rehabilitation Institute; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Enabling; Social Welfare; Aging in place; Business; Government (linguistics); Community service; Service (business); Public housing; Aged care; Intervention (counseling); Social support; Economic growth; Gerontology; Public relations; Nursing; Marketing; Medicine; Political science; Psychology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645133,0.0001300031,0.0002468948,0.0006522531,0.002277338,0.0009677643,0.0004894536,0.000290731,0.002006572],"category_scores_gemma":[0.001385172,0.0002314804,0.000230731,0.001839625,0.000680713,0.0004624642,0.001027117,0.0003485428,0.0001628303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01404236,"about_ca_system_score_gemma":0.01485594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9683686,"about_ca_topic_score_gemma":0.9917059,"domain_scores_codex":[0.9992624,0.00006158014,0.00006038924,0.00005206439,0.0002376603,0.0003259491],"domain_scores_gemma":[0.9985994,0.00007735881,0.0003536626,0.00002648322,0.0003657991,0.0005773182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006124474,0.00008309458,0.9738424,0.00009791279,0.00002006006,0.0003488574,0.01291232,0.00005988007,0.0004251265,0.0001298483,0.001092007,0.01092742],"study_design_scores_gemma":[0.000004604395,0.00003202024,0.9909704,0.00003746292,0.000005336238,0.00004558086,0.007753867,0.00004936049,0.00002169275,0.00001613145,0.001059715,0.000003723849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970008,0.0003148562,0.00002267049,0.0003675302,0.000005491201,0.00003102953,0.0003816671,0.000002289665,0.00187374],"genre_scores_gemma":[0.9983199,0.0003997,0.00004971861,0.0001187036,0.000005369911,0.00001663082,0.0001609909,0.00000116716,0.0009277345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03163141,"threshold_uncertainty_score":0.101885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786696715320252,"score_gpt":0.3033758936077625,"score_spread":0.2755089264545599,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}